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Lesso n i
Vocabulary
measure of
central tendency
- o u tlie r
- mean
- median
- m ode
- m easure o f
dispersion - r a n g e o f a se t o f
data
Essent ial Und er st and ing You can use different measures to interpret and
compare sets of data.
One way to summarize a set of data is to use a measure of central tendency. Mean,
median, and mode are all measures of central tendency.
The measure of central tendency that best describes a data set may depend on whether
the data set has an outlier. An outlier is a data value that is much greater or less than the
other values in the set. Below is a review of mean, median, and mode, and when to use
each as the measure of central tendency.Key Concept Mean, Median, and Mode
Measure
n, The mean equals tota] number of data values. The mean, sum of the data values ...
is often referred to as the average.When to Use
Use mean to describe the middle of a
set of data that does not have an outlier.
The median is the middle value in a data set
when the values are arranged in order. For a set
containing an even number of data values, the
median is the mean of the two middle data values.Use median to describe the middle of
a set of data that does have an outlier.The mode is the data item that occurs the most
times. A data set can have no mode, one mode, or
more than one mode.Use mode when the data are
nonnumeric or when choosing the
most popular item.Common Core State StandardsTen d en cy an d D i sp er si o n
l 1 n c 1. I S-ID.A.2 Use st at ist ics ap p ro p riat e t o t he... dat a
/V V G Q SUi SS O l V^ SllTrQ I distribution to compare center... and spread...
of two or more different data sets. Also S-ID.A.3,
N-Q.A.2
MP 1, MP 2, MP 3, MP 4, MP 6738 Chapter 12 Dat a A n al ysi s an d Pr o b ab i li t y